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Leading AI initiatives
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
* 10+ years architecting and scaling production AI systems---recommender engines, foundation models, NLP pipelines, classical ML---and establishing the engineering culture and infrastructure to ship them. Published at NAACL, KDD, and ICMLA. * Equally comfortable writing research papers, designing GPU serving infrastructure, setting up observability pipelines, or working across engineering, product, and compliance to get systems into production.
University of North Carolina at Charlotte
Master of Science (M.S.), Computer Science, Dept.
January 1, 2015 – January 1, 2016
Jawaharlal Nehru Technological University
Bachelor of Engineering (B.Tech.), Electronics and Communications Engineering, Branch
January 1, 2009 – January 1, 2013
Accenture
AI/ML Computational Science Manager
August 1, 2025 – Present
Mountain View, California, United States · Hybrid
Wells Fargo
Senior Lead Quantitative Scientist (Executive Director)
January 1, 2025 – August 1, 2025
Charlotte, North Carolina, United States · Hybrid
Vanguard
Principal Applied Scientist - GenAI
January 1, 2024 – January 1, 2025
Charlotte, North Carolina, United States · Hybrid
Elevance Health
AI Principal Machine Learning Scientist
August 1, 2021 – January 1, 2024
United States · Remote
Stealth Startup
VP of Engineering
February 1, 2021 – July 1, 2021
United States · Remote
American Family Insurance
Senior Machine Learning Scientist
May 1, 2017 – January 1, 2021
Madison, Wisconsin Area · On-site
Technicolor
Research Intern
May 1, 2016 – August 1, 2016
Los Altos, California
University of North Carolina at Charlotte
Research Assistant
August 1, 2015 – December 1, 2016
Charlotte, North Carolina Area
Cognizant
Software Engineer
November 1, 2013 – June 1, 2015
Kolkata, West Bengal
Cultural Fit Analysis
The candidate's career trajectory shows a strong focus on advanced AI/ML and leadership roles, which might be a mismatch for a pure 'Data Analyst' role. While the breadth of experience across different industries (finance, healthcare, insurance) indicates adaptability, the depth is in AI/ML engineering and research, not traditional data analysis. The target role of 'Data Analyst' seems significantly misaligned with the candidate's senior-level AI/ML and leadership experience. This candidate appears overqualified and specialized in a different domain than the target role.
Soft Skills & Operational Fit
The candidate's resume highlights leadership roles and significant contributions to large-scale projects, suggesting strong operational fit for driving technical initiatives. The descriptions imply problem-solving and strategic thinking. However, without psychometric or English test results, specific soft skills like communication clarity, stress handling, or team collaboration cannot be objectively assessed.